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Integrating Amazon EC2 with the CMS Production Framework
As cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for d...
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Lenguaje: | eng |
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2011
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Acceso en línea: | http://cds.cern.ch/record/1516070 |
_version_ | 1780928433213145088 |
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author | Melo, Andrew Malone |
author_facet | Melo, Andrew Malone |
author_sort | Melo, Andrew Malone |
collection | CERN |
description | As cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for dynamic scaling of the available hardware resources, providing access to peak-load handling capabilities and possibly resulting in lower costs to the experiment. Here we discuss current work within the CMS collaboration at the LHC to both perform computation on EC2, both for production and analysis use-cases. We also discuss break-even points between dedicated and cloud resources using real-world costs derived from a CMS site. |
id | cern-1516070 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
record_format | invenio |
spelling | cern-15160702019-09-30T06:29:59Zhttp://cds.cern.ch/record/1516070engMelo, Andrew MaloneIntegrating Amazon EC2 with the CMS Production FrameworkDetectors and Experimental TechniquesAs cloud middleware and cloud providers have become more robust, various experiments with experience in Grid submission have begun to investigate the possibility of taking previously Grid-Enabled applications and making them compatible with Cloud Computing. Successful implementation will allow for dynamic scaling of the available hardware resources, providing access to peak-load handling capabilities and possibly resulting in lower costs to the experiment. Here we discuss current work within the CMS collaboration at the LHC to both perform computation on EC2, both for production and analysis use-cases. We also discuss break-even points between dedicated and cloud resources using real-world costs derived from a CMS site.CMS-CR-2011-348oai:cds.cern.ch:15160702011-12-06 |
spellingShingle | Detectors and Experimental Techniques Melo, Andrew Malone Integrating Amazon EC2 with the CMS Production Framework |
title | Integrating Amazon EC2 with the CMS Production Framework |
title_full | Integrating Amazon EC2 with the CMS Production Framework |
title_fullStr | Integrating Amazon EC2 with the CMS Production Framework |
title_full_unstemmed | Integrating Amazon EC2 with the CMS Production Framework |
title_short | Integrating Amazon EC2 with the CMS Production Framework |
title_sort | integrating amazon ec2 with the cms production framework |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/1516070 |
work_keys_str_mv | AT meloandrewmalone integratingamazonec2withthecmsproductionframework |